Papers
11,015 papers found
Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems
Yewen Fan, Nian Si, Kun Zhang
Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories
Li-Cheng Lan, Huan Zhang, Cho-Jui Hsieh
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
Yuxin Wen, Arpit Bansal, Hamid Kazemi et al.
Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study
Mingxu Tao, Yansong Feng, Dongyan Zhao
Can CNNs Be More Robust Than Transformers?
Zeyu Wang, Yutong Bai, Yuyin Zhou et al.
Can discrete information extraction prompts generalize across language models?
Nathanaël Carraz Rakotonirina, Roberto Dessi, Fabio Petroni et al.
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning
Samuel Maddock, Alexandre Sablayrolles, Pierre Stock
Can Neural Networks Learn Implicit Logic from Physical Reasoning?
Aaron Traylor, Roman Feiman, Ellie Pavlick
Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN?
Jie Ren, Zhanpeng Zhou, Qirui Chen et al.
Can We Find Nash Equilibria at a Linear Rate in Markov Games?
Zhuoqing Song, Jason D. Lee, Zhuoran Yang
Capturing the Motion of Every Joint: 3D Human Pose and Shape Estimation with Independent Tokens
Sen Yang, Wen Heng, Gang Liu et al.
CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement
Hongwei Han, Mengyu Zhou, Shi Han et al.
Causal Balancing for Domain Generalization
Xinyi Wang, Michael Saxon, Jiachen Li et al.
Causal Confusion and Reward Misidentification in Preference-Based Reward Learning
Jeremy Tien, Jerry Zhi-Yang He, Zackory Erickson et al.
Causal Estimation for Text Data with (Apparent) Overlap Violations
Lin Gui, Victor Veitch
Causal Imitation Learning via Inverse Reinforcement Learning
Kangrui Ruan, Junzhe Zhang, Xuan Di et al.
Causality Compensated Attention for Contextual Biased Visual Recognition
Ruyang Liu, Jingjia Huang, Thomas H. Li et al.
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
Matthew Ashman, Chao Ma, Agrin Hilmkil et al.
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems
Phillip Lippe, Sara Magliacane, Sindy Löwe et al.
Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication
Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh et al.
(Certified!!) Adversarial Robustness for Free!
Nicholas Carlini, Florian Tramer, Krishnamurthy Dj Dvijotham et al.
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation
Maksym Yatsura, Kaspar Sakmann, N. Grace Hua et al.
Certified Training: Small Boxes are All You Need
Mark Niklas Mueller, Franziska Eckert, Marc Fischer et al.
CFlowNets: Continuous Control with Generative Flow Networks
Yinchuan Li, Shuang Luo, Haozhi Wang et al.
Characteristic Neural Ordinary Differential Equation
Xingzi Xu, Ali Hasan, Khalil Elkhalil et al.